Mastering Reactive
Programming in Python
with RxPy
Learn how to build responsive, real-time
applications using RxPy in Python.
Presented By
Xplore It Corp
www.xploreitcorp.com
Introduction to Reactive
Programming
• Focus on data streams and events
• Ideal for real-time systems like stock
markets, IoT
• RxPy helps manage async data
www.xploreitcorp.com
What is Reactive Programming?
• Declarative paradigm
• Auto-updates on variable changes
• Suited for real-time applications
www.xploreitcorp.com
Meet RxPy (ReactiveX for
Python)
• Observables for data streams
• Operators to transform data
• Simplifies complex workflows
www.xploreitcorp.com
Key Features of RxPy
• Observables, Operators, Schedulers
• Streamline concurrency
• Ideal for chatbots, dashboards
www.xploreitcorp.com
Understanding Event-Driven
Architecture
• Components respond to events
• Asynchronous and scalable
• RxPy supports EDA patterns
www.xploreitcorp.com
Why RxPy for Event-Driven
Apps?
• Handles async data elegantly
• Reduces callback hell
• Perfect for real-time UIs
www.xploreitcorp.com
Installing and Using RxPy
• Install: pip install rx
• Create Observables from lists, APIs
• Use operators like map, filter
www.xploreitcorp.com
Building Real-Time Pipelines
• Example: stock tracking, social feeds
• Filter/map data in real-time
• Use case-driven learning
www.xploreitcorp.com
Best Practices & Career Benefits
• Keep streams simple
• Use error handling
• Learn RxPy via Python course in Coimbatore
www.xploreitcorp.com

Mastering Reactive Programming in Python with RxPy

  • 1.
    Mastering Reactive Programming inPython with RxPy Learn how to build responsive, real-time applications using RxPy in Python. Presented By Xplore It Corp www.xploreitcorp.com
  • 2.
    Introduction to Reactive Programming •Focus on data streams and events • Ideal for real-time systems like stock markets, IoT • RxPy helps manage async data www.xploreitcorp.com
  • 3.
    What is ReactiveProgramming? • Declarative paradigm • Auto-updates on variable changes • Suited for real-time applications www.xploreitcorp.com
  • 4.
    Meet RxPy (ReactiveXfor Python) • Observables for data streams • Operators to transform data • Simplifies complex workflows www.xploreitcorp.com
  • 5.
    Key Features ofRxPy • Observables, Operators, Schedulers • Streamline concurrency • Ideal for chatbots, dashboards www.xploreitcorp.com
  • 6.
    Understanding Event-Driven Architecture • Componentsrespond to events • Asynchronous and scalable • RxPy supports EDA patterns www.xploreitcorp.com
  • 7.
    Why RxPy forEvent-Driven Apps? • Handles async data elegantly • Reduces callback hell • Perfect for real-time UIs www.xploreitcorp.com
  • 8.
    Installing and UsingRxPy • Install: pip install rx • Create Observables from lists, APIs • Use operators like map, filter www.xploreitcorp.com
  • 9.
    Building Real-Time Pipelines •Example: stock tracking, social feeds • Filter/map data in real-time • Use case-driven learning www.xploreitcorp.com
  • 10.
    Best Practices &Career Benefits • Keep streams simple • Use error handling • Learn RxPy via Python course in Coimbatore www.xploreitcorp.com